A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences.
Ana Isabel GonzálezManuel GrañaAlicia D'AnjouF. Xabier AlbizuriMarie CottrellPublished in: Neural Process. Lett. (1997)
Keyphrases
- sensitivity analysis
- non stationary
- self organizing maps
- neural gas
- color quantization
- image sequences
- clustering algorithm
- k means
- neural network
- grayscale images
- quantization error
- cluster analysis
- color space
- color images
- autoregressive
- unsupervised learning
- object tracking
- moving objects
- feature maps
- machine learning
- pairwise
- input data
- color correction
- multiresolution
- image data
- wavelet transform
- binary images
- similarity measure
- gray scale
- digital images